https://chcha.in/tags/data-science/Recent content in Data Science on Dev PortfolioHugoen-usFri, 27 Dec 2024 00:00:00 +0000https://chcha.in/projects/ml-sandbox/Fri, 27 Dec 2024 00:00:00 +0000https://chcha.in/projects/ml-sandbox/Overview ML-Sandbox allows users to run machine learning experiments directly from the browser. Unique in its architecture, it connects a web frontend to a Jupyter Notebook backend to execute Python code dynamically. Key Features 📂 Drag & Drop Upload: CSV dataset support 🧠 Interactive Algorithms: Classification, Find-S, Candidate Key ⚡ Jupyter Integration: Executes logic via notebooks 📊 Auto-Visualization: Renders results instantly on the web UI Tech Stack Technology Purpose Jupyter ML Execution Environment Flask Backend Server Python Logic Core Pandas/Scikit Data libraries Getting Started git clone https://github.